Fei Gao

5.2k citations
134 papers · 4.0k · h-index 36

Impact in

    • Nanoparticle-Based Drug Delivery
  • Immunology top 5%
    • Atherosclerosis and Cardiovascular Diseases
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Atherosclerosis and Cardiovascular Diseases 11
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 4

Fei Gao

130 papers receiving 4.0k citations

Peers

Fei Gao
Comparison fields: 5 of 149
  • Biomaterials 598
  • Immunology 777
  • Molecular Medicine 140
  • Cancer Research 330
  • Biomedical Engineering 755
Replace Jun Wu with:
Jun Wu China
Toshiaki Abe Japan
Yi Zhao China
Haibin Wang China
Rui Li China
Peter M. Kang United States
Dong Wang United States
Huan Wang China
Caiwen Ou China
Xiaoyang Wu China
Fei Gao relative to Jun Wu China Jun Wu's profile →
Citations per field
00.5×1.5×2.2×
Jun Wu · 1×
Citations per year

Countries citing papers authored by Fei Gao

Since Specialization
Citations

This map shows the geographic impact of Fei Gao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fei Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Gao more than expected).

Fields of papers citing papers by Fei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fei Gao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fei Gao. The network helps show where Fei Gao may publish in the future.

Co-authors

The 25 scholars most cited alongside Fei Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fei Gao Line = papers co-authored together Fei Gao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018306
2 2010181
3 2017176
4 2019118
5 2019113
6 2010107
7 201496
8 201194
9 201293
10 200790
11 201290
12 201983
13 201582
14 201878
15 202071
16 201269
17 201363
18
Antitumor activity of NKG2D CAR-T cells against human colorectal cancer cells in vitro and in vivo.
201963
19 200962
20 201562

About Fei Gao

Fei Gao is a scholar working on Molecular Biology, Immunology, Oncology, Biomedical Engineering and Surgery, having authored 134 papers that have together received 4.0k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (11 papers), Nanoparticle-Based Drug Delivery (7 papers), Autophagy in Disease and Therapy (6 papers), Nanoplatforms for cancer theranostics (6 papers), MicroRNA in disease regulation (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Biomaterials (598 citations), Immunology (777 citations), Molecular Medicine (140 citations), Cancer Research (330 citations) and Biomedical Engineering (755 citations). Fei Gao has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Lingyun Zhao, Zhenhu Guo, Dan Wang, Yun Zhang, Faliang Zhu, Qin Gao, Xiumei Wang, Chunhong Ma, Wensheng Xie and Lining Zhang. Their work appears in journals such as The Journal of Immunology, Cellular and Molecular Immunology, Journal of Cellular and Molecular Medicine, Medical Oncology and ACS Applied Materials & Interfaces.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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